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[Spirographic reference values. Mathematical models and practical use (author's transl)]

D Drouet, F Kauffmann, D Brille

    Bulletin Europeen De Physiopathologie Respiratoire
    |November 1, 1980
    PubMed
    Summary
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    Models predicting vital capacity (VC) and forced expiratory volume in 1 second (FEV1) were evaluated. Results indicate that normal distributions better fit lung function data, suggesting percentile-based assessments over single cutoffs for improved screening.

    Area of Science:

    • Pulmonary medicine
    • Biostatistics
    • Human physiology

    Context:

    • Lung function prediction models are crucial for diagnosing respiratory conditions.
    • Previous models often assumed lognormal distributions for vital capacity (VC) and forced expiratory volume in 1 second (FEV1).
    • Data from working populations examined in 1960 and 1972 provide a long-term perspective.

    Purpose:

    • To compare various models for predicting VC and FEV1 based on age and height.
    • To evaluate the fit of different mathematical models to empirical lung function data.
    • To assess the suitability of normal versus lognormal distributions for VC and FEV1.

    Summary:

    • Models where spirographic values are proportional to height cubed showed a significantly worse data fit.

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  • Most other models yielded practically similar predicted values.
  • Lung function distributions (VC and FEV1) were found to be closer to normal than lognormal distributions.

    • Impact:

    • The study questions the utility of traditional cutoff points for lung function assessment.
    • A more quantitative approach, using percentiles of reference populations, is proposed for describing functional status.
    • Highlights the need to specify decisions and populations when selecting screening cutoff points for respiratory health.